Client Case Studies — Real Impact, Measured Results
Every engagement at Vela & Vine is built around one question: what measurable outcome will this create? Below are three representative examples of how our work translates into real business impact.
Lumina Tech — SaaS Company
Reclaiming 18% Net Margin Through AI Operational Mapping
Challenge: Lumina Tech had scaled rapidly but found their margins compressing despite strong revenue growth. Tool sprawl, unclear ownership, and redundant processes were silently eroding profitability.
Approach: We conducted a full AI operational audit, mapping every workflow against its revenue and cost contribution. We identified $240k in annual waste across redundant software licenses, duplicated processes, and underutilized team capacity.
Results:
- $240,000 in annual savings identified and captured
- 30% increase in team velocity after role clarity redesign
- 18% net margin recovery within two quarters
- Consolidated tech stack from 34 tools to 19
Evergreen Logistics — Supply Chain Company
Syncing 400+ Employees Via Systems Alignment
Challenge: Evergreen Logistics was growing through acquisition but struggling with cultural and operational fragmentation across four business units. High attrition and communication breakdown were slowing execution.
Approach: We designed and led a cross-functional systems alignment initiative — rebuilding org structure, standardizing communication infrastructure, and implementing a shared operational language across all business units.
Results:
- 40% improvement in employee retention rate
- 15% reduction in operational noise (escalations, rework, missed handoffs)
- Unified playbook adopted across all four business units
- Leadership team reporting significantly higher strategic clarity
Moda Digital — E-Commerce Brand
Autonomous Revenue Recovery for High-Volume Scaling
Challenge: Moda Digital was generating strong top-line revenue but operating with poor visibility into where that revenue was coming from — and where it was leaking. Marketing spend was not being attributed accurately, and operational costs were scaling faster than revenue.
Approach: We built a real-time AI reporting infrastructure, redesigned their revenue cycle map, and implemented automated attribution across all channels — giving leadership full visibility and control for the first time.
Results:
- 22% ROI increase on operational spend
- Real-time AI reporting dashboard deployed
- Marketing attribution accuracy improved significantly
- Operational cost growth decoupled from revenue growth
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